The promise of big data is enormous and nowhere is it more critical than in its potential to
contain important, undiscovered interdependence among thousands of variables. Networks …

Finding an unconstrained and statistically interpretable reparameterization of a covariance
matrix is still an open problem in statistics. Its solution is of central importance in covariance …

Despite increasing emphasis on the genetic study of quantitative traits, we are still far from
being able to chart a clear picture of their genetic architecture, given an inherent complexity …

The use of stable isotopes to investigate animal diets, habitat use, and trophic level requires
understanding the rate at which animals incorporate the 13 C and 15 N from their diets and …

We propose a class of double hierarchical generalized linear models in which random
effects can be specified for both the mean and dispersion. Heteroscedasticity between …

Background The Phenotype MicroArray (OmniLog® PM) system is able to simultaneously
capture a large number of phenotypes by recording an organism's respiration over time on …

A total of 31 taper functions from 3 different groups of models (single, segmented and
variable-form taper functions) were fitted to diameter-height data from 203 Pinus pinaster …

A compatible system for estimation of individual tree volume was developed for Scots pine
(Pinus sylvestris L.) in northwestern Spain. The system comprises a merchantable volume …

Data from a large, long-term loblolly pine (Pinus taeda L.) plantation study including 186
permanent sample plots were used to evaluate four dynamic site equations derived with the …

A model for predicting the height growth of radiata pine plantations in Galicia (north-western
Spain) was developed. Data from stem analysis of 161 trees were used for model …